{"id":"W3092940988","doi":"10.1002/mds.28235","title":"Debugging Adaptive Deep Brain Stimulation for Parkinson's Disease","year":2020,"lang":"en","type":"letter","venue":"Movement Disorders","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Deep brain stimulation; False positive rate; Receiver operating characteristic; Logistic regression; Disease; Medicine; Machine learning; Computer science; Parkinson's disease; Psychology; Artificial intelligence; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008915514,0.0004636236,0.0003453465,0.0002990327,0.00006683892,0.0004217866,0.0004742854,0.0006796143,0.002696788],"category_scores_gemma":[0.003088669,0.0001146059,0.0003866232,0.0001882352,0.0004635759,0.0005164898,0.0004991376,0.0006944351,0.0005514038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371755,"about_ca_system_score_gemma":0.0003438275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004090636,"about_ca_topic_score_gemma":0.0007640218,"domain_scores_codex":[0.9997012,0.0001546664,0.00003080243,0.00002645324,0.00007455265,0.00001235548],"domain_scores_gemma":[0.9993881,0.0004748582,0.00003878658,0.0000244026,0.00005666074,0.00001713545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003037563,0.000035111,0.0007055516,0.003941042,0.0002131552,0.0003668233,0.00008126486,0.006483447,0.00634028,0.007044182,0.01361789,0.9608676],"study_design_scores_gemma":[0.0005841961,0.00241535,0.00880484,0.01192126,0.000948803,0.01150239,0.0001813587,0.04167122,0.04480978,0.08754539,0.789419,0.0001964222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.01513395,0.8421646,0.114982,0.01057492,0.002964594,0.0001192201,0.0002357565,0.0006789315,0.013146],"genre_scores_gemma":[0.3876377,0.5238984,0.06668665,0.01081635,0.002720525,0.0002575174,0.0004377048,0.0002882009,0.007257041],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.002696788,"threshold_uncertainty_score":0.00902164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246518930696895,"score_gpt":0.2639496630330477,"score_spread":0.2392977699633582,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}